Evidence map›Paper›PMID 38882175›Full record

ArticleACS omega2024

Regression Study of Odorant Chemical Space, Molecular Structural Diversity, and Natural Language Description.

Yuki Harada, Shuichi Maeda, Junwei Shen, Taku Misonou, Hirokazu Hori, Shinichiro Nakamura

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yuki HaradaPriority Organization for Innovation and Excellence Laboratory for Data Sciences, Kumamoto University, 2-39-1, Kurokami, Chuo-ku, Kumamoto 860-8555, Japan.ORCID https://orcid.org/0009-0000-4254-7803
Shuichi MaedaPriority Organization for Innovation and Excellence Laboratory for Data Sciences, Kumamoto University, 2-39-1, Kurokami, Chuo-ku, Kumamoto 860-8555, Japan.
Junwei ShenPriority Organization for Innovation and Excellence Laboratory for Data Sciences, Kumamoto University, 2-39-1, Kurokami, Chuo-ku, Kumamoto 860-8555, Japan.ORCID https://orcid.org/0000-0003-4223-6735
Taku MisonouEmeritus Professors of University of Yamanashi, Takeda 4-4-37, Kofu 400-8510, Japan.
Hirokazu HoriEmeritus Professors of University of Yamanashi, Takeda 4-4-37, Kofu 400-8510, Japan.
Shinichiro NakamuraPriority Organization for Innovation and Excellence Laboratory for Data Sciences, Kumamoto University, 2-39-1, Kurokami, Chuo-ku, Kumamoto 860-8555, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Odor is analyzed on the human olfactometry systems in various steps. The mapping from chemical structures to olfactory perceptions of smell is an extremely challenging task. Scientists have been unable to find a measure to distinguish the perceptual similarity between odorants. In this study, we report regression analysis and visualization based on the odorant chemical space. We discuss the relation between the odor descriptors and their structural diversity for odorants groups associated with each odor descriptor. We studied the influence of structural diversity on the odor descriptor predictability. The results suggest that the diversity of molecular structures, which is associated with the same odor descriptor, is related to the resolutional confusion with the odor descriptor.

Identifiers

PMID38882175
PMCPMC11170723

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.